Speaker: Hongzhi Wang
Bio: Hongzhi Wang, Professor, PHD supervisor, the head of massive data computing center, the secretary general of ACM SIGMOD China, outstanding CCF member, IEEE Senior member, a standing committee member CCF databases and a member of CCF big data committee. Research Fields include big data management and analysis, database systems, knowledge engineering and data quality. He was “starring track” visiting professor at MSRA and postdoctoral fellow at University of California, Irvine. Prof. Wang has been PI for more than 10 national or international projects including NSFC key project, NSFC projects and National Technical support project, and co-PI for more than 10 national projects include 973 project, 863 project and NSFC key projects. He also serves as a member of ACM Data Science Task Force. He has won First natural science prize of Heilongjiang Province, MOE technological First award, Microsoft Fellowship, IBM PHD Fellowship and Chinese excellent database engineer. His publications include over 300 papers in the journals and conferences such as VLDB Journal, IEEE TKDE, VLDB, SIGMOD, ICDE and SIGIR, 6 books and 6 book chapters. His PHD thesis was elected to be outstanding PHD dissertation of CCF and Harbin Institute of Technology. He severs as the reviewer of more than 20 international journal including VLDB Journal, IEEE TKDE, and PC members of over 50 international conferences including SIGMOD, VLDB, KDD, ICML, NeurpIS, ICDE, etc. His papers were cited more than 4000 times. His personal website is http://homepage.hit.edu.cn/wang.
Keynote Speech：Big Data Analytics: Beyond Big data and AI
Abstract: The artificial intelligence in big data era is based on the big data analytics to discover usable knowledge from big data. However, big data analytics for modern AI go beyond traditional AI and big data processing. New requirements of scalability, automation and usability are brought by the features of big data and new AI tasks. Some specific techniques are in demand to meet these requirements. This talk will introduce the challenges for these challenges and the corresponding solutions to address these challenges.
Speaker: Yuankai Qi
Bio:Yuankai Qi, Research Fellow, Australian Institute for Machine Learning, School of Computer Science, University of Adelaide. Serve as Superior Program Committee member for IJCAI 2021 and regular reviewer for toptier international conferences and journals in the field of computer vision, machine learning, and artificial intelligence, including NAACL, ICLR, CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI, IEEE TPAMI, TIP, TCSVT.
Keynote Speech：Smart robot: Vision-and-Language Navigation